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easy-application

Over 400 software engineering companies that are easy to apply to

explore-weather-trends

Udacity Data Analyst Nanodegree, Project 1 - Analyze local and global temperature data and compare the temperature trends where you live to overall global temperature trends.

getting-started

Getting started with Docker

ist-659

IST 659 is an introductory course to database management systems. This course examines data structures, file organizations, concepts, and principles of database management systems (DBMS) as well as data analysis, database design, data modeling, database management, and database implementation.

ist-687

The course introduces students to applied examples of data collection, processing, transformation, management, and analysis to provide students with hands-on introduction to data science experience. Students will explore key concepts related to data science, including applied statistics, information visualization, text mining and machine learning. “R”, the open source statistical analysis and visualization system, will be used throughout the course. R is reckoned by many to be the most popular choice among data analysts worldwide; having knowledge and skill with using it is considered a valuable and marketable job skill for most data scientists.

practice.code.py

practice code from lynda.com

project_investigating_eu_soccer

Udacity: Data Analysis Chapter - Final project

python-data-visualization

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

r-studio-prep

udacity-nanodegree---data-analytics-

This program prepares for a career as a data analyst by helping you learn to organize data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. You’ll develop proficiency in Python and its data analysis libraries (Numpy, pandas, Matplotlib) and SQL.

udemy

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